*goodputfrequencyamplitude*throughputcrosstalk*bandwidth
They are measures of the spread of data.
None. Measures of central tendency are not significantly affected by the spread or dispersion of data.
measures of variation
The most appropriate measures of center for a data set depend on its distribution. If the data is normally distributed, the mean is a suitable measure of center; however, if the data is skewed or contains outliers, the median is more appropriate. For measures of spread, the standard deviation is ideal for normally distributed data, while the interquartile range (IQR) is better for skewed data or when outliers are present, as it focuses on the middle 50% of the data.
what are three features of reliable data?
*goodputfrequencyamplitude*throughputcrosstalk*bandwidth
The data type that measures the outcome of a study is quantitative data.
They are measures of the spread of data.
None. Measures of central tendency are not significantly affected by the spread or dispersion of data.
Purpose of data collection: Clearly define why the data is being collected and what it will be used for. Type of data collected: Specify the categories or types of data that will be collected. Data retention and security measures: Outline how the data will be stored, shared, and protected to ensure privacy and compliance with regulations.
Central tendency will only give you information on the location of the data. You also need dispersion to define the spread of the data. In addition, shape should also be part of the defining criteria of data. So, you need: location, spread & shape as best measures to define data.
The measures of the three exterior angles would be 95, 160 and 105.
The three basic measures of the macroeconomy are output, unemployment and inflation.
measures of variation
The dispersion of the data.
The most appropriate measures of center for a data set depend on its distribution. If the data is normally distributed, the mean is a suitable measure of center; however, if the data is skewed or contains outliers, the median is more appropriate. For measures of spread, the standard deviation is ideal for normally distributed data, while the interquartile range (IQR) is better for skewed data or when outliers are present, as it focuses on the middle 50% of the data.
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